My research interests are in applied machine learning. Right now my focus is on Bayesian inference algorithms in Topic Models(Latent Dirichlet Allocation).
- Pursuing a MS in Computer Science (Artificial Intelligence), University of California San Diego.
- BE in Computer Science, R.V. College of Engineering, Bangalore, IN.
Developing a sparse stochastic collapsed variational Bayesian inference algorithm for Latent Dirichlet Allocation(Topic model) to infer the posterior distribution of the hidden topic-word distribution and document-topic distribution, given the observed corpus.
sijeri (at) cs.ucsd.edu